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Tom Davenport      

Distinguished Professor of Information Technology & Management at Babson College; Expert on Analytics and AI

Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. Davenport is an expert on analytics and artificial intelligence and he advises a number of companies and startups in that capacity.

He has written or edited many books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D. from Harvard University and has taught at the Harvard Business School, the University of Chicago, the Tuck School of Business, Boston University, and the University of Texas at Austin.

One of HBR’s most frequently published authors, Davenport has been at the forefront of the process innovation, knowledge management, and analytics and big data movements. He pioneered the concept of “competing on analytics” with his 2006 Harvard Business Review article and his 2007 book by the same name.

Since then, he has continued to provide cutting-edge insights on how companies can use analytics and big data to their advantage, and then on artificial intelligence. Davenport’s book, co-authored with Julia Kirby, "Only Humans Need Apply: Winners and Losers in the Age of Smart Machines," offers tangible tools for individuals who need to work with cognitive technologies and in his 2018 book, "The AI Advantage: How to Put the Artificial Intelligence Revolution to Work," he provides a guide to using artificial technologies in business.

Speech Topics


Big Data

Business Intelligence

Cloud Computing

Decision Making

Enterprise 2.0

Information & eBusiness Management

Information Technology

Innovation, Integration & Creativity

Managing Knowle

Managing Knowledge & Attention

Web 2.0

Four Eras of Analytics

There have been four different approaches for applying analytics to business over the last half century. Some organizations still practice Analytics 1.0 (the artisanal era), while others are actively pursuing Analytics 4.0 (the cognitive era). Each era requires different management of both analytics and the underlying data. In this presentation Tom Davenport will describe the attributes of each era, the drivers of change, and the valuable lessons that each era provides. He will provide examples of 3.0 and 4.0 organizations (in healthcare and other industries) and the business, technology, and human issues with which they are wrestling.

News


Tom Davenport's Guide to Big Data

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, is a new book from Tom Davenport, a veteran observer of the data analysis scene.

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